Head of Platform Engineering

Reducto • San Francisco, CA

4d • Onsite

About The Position

Reducto's platform is what turns a customer's document into a result. Underneath it is advanced job orchestration, document pre and post processing, reliable and fast model inference, along with the deployment platforms that let a bank or an insurer run all of it inside their own environment. We process a billion pages a month, and the customers driving that volume run us in production on workflows where a failure is their incident as much as ours. We're hiring a Head of Platform Engineering that will own the reliability of the platform, shape the future direction, and build the team that executes it.
This is a hands-on role. You'll be in design reviews, on incidents, and in the code when it unblocks the team, and you'll spend your first few months shipping as an engineer alongside the team before you fully take on leading it. As AI makes it easier to write code, the expectation that you can solve the hard problems yourself becomes more of the norm.
You'll report to our VP of Engineering and work directly with our founders.

Requirements

• At least 3 years of experience owning reliability, latency, and efficiency for a platform of significant scale, and you can talk about the numbers you moved and how.
• Hands-on roles recently, and you're comfortable writing design docs, writing code, and reviewing your team's code with a critical eye.
• A track record of attracting, hiring, and retaining top tier talent, and you can point to people you brought in who are still doing their best work.
• Ability to find your bearings in environments that move extremely fast and where not everything is spelled out yet. Generally this looks like having done 0 to 1 as a founder, a founding engineer, or the person who started a greenfield project and carried it through.
• Expect to own the roadmap and the technical decision making for your team, and you'd rather bring both to planning than be handed them.
• Familiarity with infrastructure-as-code and containerized deployments, and have operated them in production.
• A high bar for how things are done technically, you hold your team to it, and you apply it to your own work first.
• Deeply curious and eager to learn new technology, stacks, and products, including the ones we haven't picked yet.

Nice To Haves

• Served ML models, particularly vision-language models, at scale
• Built data platforms for internal users and ML teams
• Built, shipped, and managed on-premise deployments
• Experience with agent sandboxes, harnesses, and evaluations

Responsibilities

• Owning Reducto's serving platform end to end, from job orchestration and document pre/post processing through model inference, autoscaling, and throttling, including finishing an in-flight migration of the serving stack
• Building out how we deploy and serve Reducto to customer clouds and on-premise environments
• Building the observability that tells us and our customers what the platform is doing, and using it to drive alerting, incident response, and the reliability, latency, and cost-per-document numbers the team is measured on
• Owning the platform roadmap and the technical decisions behind it, and sourcing and recruiting the platform engineers who will execute it
• Working with our Product engineering team to build and scale our agent runtimes and environments
• Building our internal data platform that serves internal users and customers
• Working closely with our ML and Product engineering teams to roll out new models and deployment capabilities

Benefits

• Unlimited PTO
• Free lunch daily at the office
• Reimbursed Transportation
• Generous health insurance covering medical, dental, and vision.
• Health and Wellness Budget: up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
• Parental Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed